Sam Davenport

Sam Davenport

Gaussian Processes, fMRI data, Resampling methods, Random Field Theory

Sam Davenport is a PhD student at the University of Oxford on the OxWaSP Program, supervised by Thomas Nichols and Chris Holmes. Sam is currently working on Selective Inference methods to correct for bias in fMRI that arises due to the Winner’s Curse. He is also looking at methods for dealing with Missing Data. He did his undergraduate in Mathematics at Cambridge before going on to do the Part III mathematics masters course there specialising in Statistics. His masters dissertation was entitled “Statistical Analysis in Neuroimaging Structural Breaks” which involved identifying changes in the brain using bootstrapping techniques and looking at multiple hypothesis testing in tree structures.